New AMD LGS4 Lentochnyy Fotoseparator color sorter
≈ KES 4,951,000
Tashkent10467 km to "United States/Ashburn"
If you decide to buy equipment at a low price, make sure that you communicate with the real seller. Find out as much information about the owner of the equipment as possible. One way of cheating is to represent yourself as a real company. In case of suspicion, inform us about this for additional control, through the feedback form.
Before you decide to make a purchase, carefully review several sales offers to understand the average cost of your chosen equipment. If the price of the offer you like is much lower than similar offers, think about it. A significant price difference may indicate hidden defects or an attempt by the seller to commit fraudulent acts.
Do not buy products which price is too different from the average price for similar equipment.
Do not give consent to dubious pledges and prepaid goods. In case of doubt, do not be afraid to clarify details, ask for additional photographs and documents for equipment, check the authenticity of documents, ask questions.
The most common type of fraud. Unfair sellers may request a certain amount of advance payment to “book” your right to purchase equipment. Thus, fraudsters can collect a large amount and disappear, no longer get in touch.
- Transfer of prepayment to the card
- Do not make an advance payment without paperwork confirming the process of transferring money, if during the communication the seller is in doubt.
- Transfer to the “Trustee” account
- Such a request should be alarming, most likely you are communicating with a fraudster.
- Transfer to a company account with a similar name
- Be careful, fraudsters may disguise themselves as well-known companies, making minor changes to the name. Do not transfer funds if the company name is in doubt.
- Substitution of own details in the invoice of a real company
- Before making a transfer, make sure that the specified details are correct, and whether they relate to the specified company.
Seller's contacts
+998 99 807...
Show
+998 99 807 59 84
+998 90 912...
Show
+998 90 912 22 17
+998 97 500...
Show
+998 97 500 28 50
+86 152 565...
Show
+86 152 5652 0268
Uzbekistan 
Uzbekistan, Tashkent
Uzbekistan, Tashkent
Merhabalar
Приветствую
Assalomu Aleykum
I'm Guzal, from Tashkent and I appreciate you for visiting my profile. I would like to inform you that I'm an official sales representative of the company AMD, I will be glad to answer any questions if you have. And I'm sure that according to my price list I would be able to suggest you the best price for machine you need, so therefor I request you to contact me first before you go to the official website of the company to avoid any misunderstandings in future and surely I would give you any information you need about the company!
I speak fluently at least 4 languages ENGLISH, TURKEY, RUSSIAN and UZBEK, so feel free to ask me any question. I will be happy to work with you on new projects.
ДОСТАВКА В ЛЮБУЮ ТОЧКУ МИРА! Прямые Поставки Прямо с Завода в Китае!
LG Ленточная сортировочная машина по цвету зерна
Ленточная сортировочная машина AMD по цвету зерна
Предоставление сортировочных решений для всех видов зерна
Параметра оборудования смотрите на фото
ПОСТАВКИ В ЛЮБУЮ ТОЧКУ МИРА!
Цветовой сортировщик AMD® Deep Learning для фасоли, семян и арахиса
В ленточных сортировщиках AMD® серии P-LG применяется передовая технология глубокого обучения.
Он предназначен для удовлетворения потребностей в высокоточной сортировке в перерабатывающих отраслях, таких как бобы, семена и арахис.
Описание продукта
Машины для сортировки по цвету серии AMD P-LG в основном используются для более высокой сортировки бобов, семян, арахиса, пшеницы, зерна, перца чили, с которыми не может справиться традиционный сортировщик по цвету.
Продукты серии AMD для глубокого обучения используют 12 основных технологий, таких как интегрированная технология моделирования Kunpeng, алгоритм глубокого обучения, система профессионального зрения S-уровня, интеллектуальный чип DGS, система обработки электронных изображений, для реализации многомерной и многохарактерной идентификации материалы из цвета, формы, текстуры, площади, света и тени, веса, мягкости и твердости, а также взаимодействуют с алгоритмом centroid 3.0, чтобы всесторонне улучшить возможности выбора формы, выбора цвета и различной сортировки.